Information processing device, information processing method, and program

Abstract

To support users' career development in a more suitable manner.SOLUTION: An information processing device comprises: management means for managing career information including information related to a career as a constituent element in association with each of a series of users; first extraction means for extracting, from among a series of users to be managed, a plurality of second users different from a first user to be analyzed, wherein the similarity of the career information associated with the first user is higher than or equal to a threshold; classification means for classifying each of the plurality of second users into a plurality of groups such that users with higher similarity of the associated career information are included in a common group; and output control means for performing control so that information indicated by at least some constituent elements among a series of constituent elements included in the career information associated with at least some of the second users classified into the group with at least any of the plurality of groups as the target to be processed is output to a predetermined output destination.SELECTED DRAWING: Figure 3

Description

[Technical Field]

[0001] The present disclosure relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] Generally, employees of a company or the like build their careers by accumulating work experience, acquiring skills and qualifications, etc. In doing so, it is sometimes important to systematically build their careers and develop their capabilities. In particular, in recent years, the business environment has been changing rapidly, and there are many cases where the skill sets required for performing work change from time to time. Against this background, various technologies to support the career development of users (e.g., company employees, etc.) are being considered. For example, Patent Document 1 and Patent Document 2 disclose examples of technologies to support users' career development. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-9907 [Patent Document 2] Japanese Patent Publication No. 2021-149583 Summary of the Invention [Problem to be solved by the invention]

[0004] On the other hand, there are many cases where users do not understand what direction their future careers will take, what skills and qualifications they should acquire, what experience they should gain, etc.

[0005] In view of the above problems, the present invention aims to provide support for users' career development in a more suitable manner. [Means for solving the problem]

[0006] The information processing device of the present invention comprises: a management means for associating and managing carrier information containing one or more types of information related to the user's career as components with each of a series of users; a first extraction means for extracting from the series of users to be managed a plurality of second users different from a first user to be analyzed, whose carrier information associated with the first user has a similarity equal to or greater than a threshold; a classification means for classifying each of the plurality of second users into a plurality of groups so that users with a higher similarity in their associated carrier information are included in a common group; and an output control means for controlling, for at least one of the plurality of groups, so that information indicated by at least some of the components included in the carrier information associated with at least some of the second users classified into that group is output to a predetermined output destination. [Effects of the Invention]

[0007] According to the present invention, it is possible to provide support for users' career development in a more suitable manner. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 illustrates an example of a system configuration of an information processing system. [Figure 2] FIG. 2 is a diagram showing an example of information managed as human resource data. [Figure 3] FIG. 10 is a diagram illustrating an example of a function related to analysis of carrier information. [Figure 4] FIG. 1 illustrates an example of a hardware configuration of an information processing device. [Figure 5] FIG. 1 is a diagram illustrating an example of a functional configuration of an information processing system. [Figure 6] FIG. 10 is a diagram illustrating an example of a UI of the information processing system. [Figure 7] FIG. 10 is a diagram illustrating an example of a UI of the information processing system. [Figure 8]10 is a flowchart illustrating an example of processing by an information processing device. DETAILED DESCRIPTION OF THE INVENTION

[0009] Preferred embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. In this specification and drawings, components having substantially the same functional configurations are designated by the same reference numerals, and redundant description will be omitted.

[0010] <System Overview> An overview of an information processing system according to an embodiment of the present disclosure will be described below. First, an example of a system configuration of an information processing system according to an embodiment of the present disclosure will be described with reference to Fig. 1. The information processing system 1 according to this embodiment includes an information processing device 110 and one or more terminal devices 210. In the example shown in Fig. 1, two terminal devices 210a and 210b are shown as the terminal devices 210. The information processing device 110 and the terminal devices 210 (e.g., terminal devices 210a, 210b, etc.) are connected via a network N1 so as to be able to transmit and receive information to and from each other.

[0011] Note that the type of network N1 is not particularly limited as long as it is possible to connect the information processing device 110 and the terminal device 210. As a specific example, the network N1 may be configured as a local area network (LAN), the Internet, a dedicated line, a wide area network (WAN), or the like. The network N1 may also be configured as a wired network or a wireless network. The network N1 may also include multiple networks, some of which may be of a different type from the other networks. The physical configuration of the network N1 is not particularly limited as long as communication between the components is logically established. As a specific example, communication between the components may be relayed by other communication devices, etc. Furthermore, the series of components constituting the information processing system 1 do not necessarily need to be connected to a common network. That is, as long as communication between the components that transmit and receive information and data can be established, some components may be directly connected to different networks.

[0012] The information processing system 1 according to this embodiment manages information about the careers of each of a series of users to be managed (for example, employees of a target company, members of a specified service, etc.) as human resource data. In this embodiment, for convenience, a series of career-related information included in the human resource data is also referred to as career information. The information processing system 1 also has the function of performing various analyses on the career information of each of the series of users to be managed, and is configured to be able to output the results of the analysis to a specified output destination. Each component of the information processing system 1 according to this embodiment will be described individually below.

[0013] The information processing device 110 provides various functions related to the management of the talent data of each of a series of users to be managed, and various functions related to the analysis of the talent data (particularly, career information). Specifically, the information processing device 110 manages the career information of each of a series of users to be managed as human resource data. For example, Fig. 2 is a diagram showing an example of information managed as human resource data, focusing in particular on information managed as career information. As illustrated in Fig. 2, the career information may include, as components, information related to the user's career, such as the department or group to which the target user belongs, the user's occupation, the user's skills, and the user's qualifications. Furthermore, the information processing device 110 performs various analyses on the human resource data of each user and outputs the results of the analyses to a predetermined output destination. For example, the information processing device 110 may analyze career information associated with each user and output the results of the analyses to a predetermined output destination. The information processing device 110 may be realized by, for example, a server, etc. Furthermore, the information processing device 110 may be realized as a so-called network service such as a cloud service (in other words, a virtual server, etc.).

[0014] The terminal device 210 serves as an input interface for receiving input from the user relating to the use of functions provided by the information processing device 110, and as an output interface for presenting various types of information to the user. The terminal device 210 can be realized by an information processing device having a communication function, such as a PC, a smartphone, or a tablet terminal.

[0015] Here, with reference to FIG. 3, an example of the functions provided by the information processing device 110 will be outlined, focusing on the function related to the analysis of carrier information. The information processing device 110 receives a user to be analyzed and compares the career information of the user to other users to extract other users whose career information is similar to that of the user to be analyzed (hereinafter also referred to as similar users). The degree of similarity in career information between multiple users can be calculated, for example, by representing various pieces of information contained in the human resources data (e.g., information about the user and individual pieces of information contained as components in the career information) as data called a graph, generating an embedded representation of the graph, converting the users corresponding to the nodes of the graph into numerical vectors, and comparing these numerical vectors. Since known techniques can be applied to the method of calculating the similarity between multiple numerical vectors, a detailed description thereof will be omitted. The user to be analyzed corresponds to an example of a "first user," and the similar user corresponds to an example of a "second user."

[0016] Furthermore, the information processing device 110 classifies each of the extracted series of similar users into a plurality of groups based on the carrier information of the similar users. As a specific example, the information processing device 110 may classify each of the series of similar users into a plurality of groups so that similar users with higher similarity in carrier information are included in a common group. Next, for each group, the information processing device 110 analyzes the career information of the similar users classified into that group, extracts information characteristic of that group, and outputs the information to a predetermined output destination. As a specific example, the information processing device 110 may extract information that is more frequently included in the career information of each of a series of similar users included in the target group (for example, affiliation, job type, skills, qualifications, etc.) than in other groups (information that is less frequently included in the career information of other groups).

[0017] For example, in the example shown in Figure 3, a series of similar users are classified into a group of users with careers more relevant to machine learning technology, a group of users with APS (Application Specialist) careers, and a group of users with DS (Data Scientist) careers. Then, from the group of users with careers more relevant to machine learning technology, the information processing device 110 extracts information (skills, qualifications, affiliations, etc.) related to careers more relevant to machine learning technology from the career information of each of the series of similar users belonging to the group. Similarly, the information processing device 110 extracts information related to careers more relevant to APS from the group of users with APS careers, and extracts information related to careers more relevant to DS from the group of users with DS careers. Then, the information processing device 110 presents the information about the career extracted for each group to the user as information indicating a career model (hereinafter also referred to as a model role) characteristic of the user belonging to the group.

[0018] In addition, the information processing device 110 may output information regarding potential next actions for the target user to aim for a career corresponding to the group, based on the difference between the target user's career information and the career information of similar users included in each group.

[0019] With the above system, users can, for example, recognize what future career directions are available based on their current career, and what qualifications, skills, etc. they should acquire depending on their career direction.

[0020] An overview of the information processing system according to an embodiment of the present disclosure has been described above with reference to FIGS.

[0021] <Hardware configuration> An example of the hardware configuration of an information processing device 900 applicable as a device (e.g., the information processing device 110, the terminal device 210, etc.) constituting the information processing system according to this embodiment will be described with reference to FIG. 4. As shown in FIG. 4, the information processing device 900 according to this embodiment includes a central processing unit (CPU) 910, a read-only memory (ROM) 920, and a random access memory (RAM) 930. The information processing device 900 also includes an auxiliary storage device 940 and a network I / F 970. The information processing device 900 may also include at least one of an output device 950 and an input device 960. The CPU 910, the ROM 920, the RAM 930, the auxiliary storage device 940, the output device 950, the input device 960, and the network I / F 970 are connected to one another via a bus 980.

[0022] The CPU 910 is a central processing unit that controls various operations of the information processing device 900. For example, the CPU 910 may control the operation of the entire information processing device 900. The ROM 920 stores control programs, boot programs, and the like that can be executed by the CPU 910. The RAM 930 is the main storage memory of the CPU 910, and is used as a work area or a temporary storage area for expanding various programs.

[0023] The auxiliary storage device 940 stores various data and programs. The auxiliary storage device 940 is realized by a storage device capable of temporarily or permanently storing various data, such as a hard disk drive (HDD) or a nonvolatile memory such as a solid state drive (SSD).

[0024] The output device 950 is a device that outputs various types of information and is used to present various types of information to a user. For example, the output device 950 is realized by a display device such as a display. In this case, the output device 950 presents information to a user by displaying various types of display information. As another example, the output device 950 may be realized by an audio output device that outputs sounds such as voices and electronic sounds. In this case, the output device 950 presents information to a user by outputting sounds such as voices and telegrams. Furthermore, the device used as the output device 950 may be changed as appropriate depending on the medium used to present information to a user.

[0025] The input device 960 is used to receive various instructions from the user. In this embodiment, the input device 960 includes input devices such as a mouse, a keyboard, and a touch panel. As another example, the input device 960 may include a sound collection device such as a microphone, and collect voices uttered by the user. In this case, various analysis processes such as acoustic analysis and natural language processing are performed on the collected voices, and the contents of the voices are recognized as instructions from the user. Furthermore, the device applied as the input device 960 may be changed as appropriate depending on the method for recognizing instructions from the user. Furthermore, multiple types of devices may be applied as the input device 960.

[0026] The network I / F 970 is used for communication with external devices via a network. The device used as the network I / F 970 may be changed as appropriate depending on the type of communication path and the communication method used.

[0027] The CPU 910 expands a program stored in the ROM 920 or the auxiliary storage device 940 into the RAM 930 and executes this program, thereby realizing the functional configuration of the information processing system 1 shown in Figure 5 and the processing of the information processing system 1 described below with reference to Figure 8.

[0028] An example of the hardware configuration of the information processing device 900 that can be used as a device constituting the information processing system 1 according to this embodiment has been described above with reference to FIG.

[0029] <Functional configuration> 5, an example of the functional configuration of the information processing system 1 according to this embodiment will be described, focusing particularly on the configuration of the information processing device 110. The information processing device 110 includes a career information management DB 116, a similar user extraction unit 111, a user classification unit 112, a career information analysis unit 113, a behavior candidate analysis unit 114, and an output control unit 115.

[0030] The career information management DB 116 schematically shows a storage area for storing career information for each of a series of users to be managed. The career information management DB 116 may be realized, for example, by a database (DB) for managing human resource data for each of the series of users to be managed.

[0031] The similar user extraction unit 111 accepts the designation of a user to be analyzed and extracts other users whose career information is similar to that of the user as similar users. As a specific example, the similar user extraction unit 111 may refer to the career information management DB 116 to extract the career information of the user to be analyzed, compare the career information with the career information of other users other than the user, and extract users whose similarity between the career information is equal to or greater than a threshold as similar users. Note that the method for calculating the similarity of the career information between the user to be analyzed and other users is not particularly limited as long as it is possible to calculate the similarity of the career information between the user to be analyzed and other users. For example, as described above, by configuring the career information as so-called graph data, the similarity of the career information indicated by the graph data may be calculated based on the comparison result of the numerical vectors between the user to be analyzed and other users obtained by graph embedding representation. Then, the similar user extraction unit 111 outputs the extracted set of similar users and the career information of the similar users to the user classification unit 112. The similar user extraction unit 111 corresponds to an example of a "first extraction unit."

[0032] The user classification unit 112 classifies each of the series of similar users extracted by the similar user extraction unit 111 into multiple groups based on the career information of each of the series of similar users. At this time, the user classification unit 112 may classify the series of similar users into multiple groups, for example, so that multiple users with more similar career information belong to a common group. As a specific example, the user classification unit 112 may classify the series of similar users into multiple groups so that multiple users with similar skills and qualifications belong to a common group. As another example, the user classification unit 112 may classify the series of similar users into multiple groups so that multiple users with similar work histories (e.g., affiliation, occupation, etc.) belong to a common group. Note that, as described above, there is no particular limitation on the method for calculating the similarity of career information between multiple users. Then, the user classification unit 112 outputs the classification results of the series of similar users to the career information analysis unit 113.

[0033] The career information analysis unit 113 analyzes the career information of the similar users extracted by the similar user extraction unit 111. At this time, the career information analysis unit 113 may analyze, for each group into which a series of similar users have been classified by the user classification unit 112, the career information of the similar users included in that group.

[0034] For example, the career information analysis unit 113 may extract information (e.g., affiliation, occupation, skills, qualifications, etc.) included as components in the career information of each of a series of similar users included in a target group that is included more frequently in the career information than in other groups. In other words, the career information analysis unit 113 may extract information from the target group that is included less frequently in the career information associated with each of a series of users included in the other groups than in the target group. In this case, the career information analysis unit 113 may extract information characteristic of the target group from the series of information included in the career information of each of a series of similar users included in the target group, for example, based on a technique called TF-IDF (Term Frequency - Inverse Document Frequency). TF-IDF is an effective technique for extracting important words that characterize a document (in this embodiment, information included as components in the career information). TF-IDF is a well-known technique, so a detailed description will be omitted.

[0035] As another example, the career information analysis unit 113 may extract information included in the career information of some users from a series of similar users included in the target group. As a specific example, the career information analysis unit 113 may extract characteristic users from a series of similar users included in the target group, such as so-called veteran employees or active employees, who have worked for a longer period of time or who have acquired more skills and qualifications. Then, the career information analysis unit 113 may extract at least a portion of the series of information included as components in the career information of the extracted users (characteristic users).

[0036] In this way, the career information analysis unit 113 acquires, for each group into which a series of similar users are classified, the analysis results of the career information of the similar users included in that group, i.e., information characteristic of that group. Hereinafter, for convenience, the series of information acquired for each group by the career information analysis unit 113 as described above will also be referred to as a role model. In other words, a role model includes information (e.g., affiliation, occupation, skills, qualifications, etc.) related to the careers characteristic of similar users included in the group from which the information is acquired. Then, for each group into which a series of similar users are classified, the career information analysis unit 113 outputs the analysis results of the career information of similar users included in the group, i.e., information characteristic of the group (hereinafter also referred to as role models), to the output control unit 115. This makes it possible for the output control unit 115 to present, for example, information characteristic of each group (for example, information about the careers corresponding to the group) to a user who has requested a career analysis (for example, a user who has specified a user to be analyzed). Furthermore, the career information analysis unit 113 may output the analysis result of the career information for each group described above to the behavior candidate analysis unit 114. The part of carrier information analysis unit 113 that is involved in extracting information characteristic of each group corresponds to an example of a "second extraction unit."

[0037] The behavior candidate analysis unit 114 extracts information about the user's next behavior candidates by analyzing the analysis results of the career information of similar users (e.g., role models) by the career information analysis unit 113 and the career information of the target user. At this time, the behavior candidate analysis unit 114 may extract information about the user's next behavior candidates for aiming for a career corresponding to each group, for each group into which the series of users are classified in S102, based on the analysis results of the target user's career information and the career information of similar users belonging to the group.

[0038] As a specific example, the behavior candidate analysis unit 114 may compare the career information of the target user with the role models extracted for each group, and extract information about the careers included in the role models that is not included in the career information of the user. This makes it possible to extract, as differences, skills and qualifications that the target user does not possess among the skills and qualifications possessed by similar users in the target group. The skills and qualifications extracted as differences in this way are likely to be useful skills and qualifications for the target user when aiming for a career corresponding to the group from which the information was extracted. In other words, such skills and qualifications may be skills and qualifications that are recommended for the target user when aiming for a career corresponding to the group from which the information was extracted, and thus acquiring such skills and qualifications may be candidates for the next action. As another example, differences in work history may be extracted by comparing the work history, such as affiliation and occupation, between the user being analyzed and similar users in a target group. Based on the differences in work history extracted in this way, for example, if the target user aims for a career corresponding to the target group, it may be possible to present a change in assignment or occupation as a next action candidate. Furthermore, by using the results of extracting candidate next actions as exemplified above, it is also possible to present other actions (e.g., training that is recommended to be taken) that will be effective in practicing the action corresponding to each candidate to the target user as separate candidate next actions.

[0039] In addition, when multiple candidates are extracted as candidates for the next action, the behavior candidate analysis unit 114 may prioritize the multiple candidates by analyzing the career information of each of a series of similar users included in the target group.

[0040] As a specific example, when there are multiple skills or qualifications that are candidates for acquisition, the behavior candidate analysis unit 114 may prioritize the skills or qualifications according to the acquisition rate of the skills or qualifications among a series of similar users included in the target group. As another example, the behavior candidate analysis unit 114 may prioritize skills and qualifications that are candidates for acquisition by analyzing the order in which similar users in a target group acquired the skills and qualifications. In this case, it is preferable to include information that can be used to analyze chronological relationships, such as the time (e.g., date and time) when each skill or qualification was acquired, in the career information. Furthermore, by applying so-called association analysis, it is also possible to analyze the strength of associations between information such as skills and qualifications, as well as the chronological order, such as, for example, "people who hold qualification A also hold qualification B and skill C," or "many people acquire qualification E after acquiring qualification D." As another example, the behavior candidate analysis unit 114 may prioritize skills and qualifications that are candidates for acquisition according to the difficulty of acquiring the skills and qualifications. For example, some qualifications may require prerequisite qualifications before they can be acquired. Furthermore, by analyzing the chronological order in which similar users acquired a series of skills and qualifications, it may be possible to statistically calculate the difficulty of acquiring a series of skills and qualifications. When the difficulty of acquiring skills and qualifications can be identified in the above manner, the behavior candidate analysis unit 114 may prioritize the skills and qualifications that are candidates for acquisition so that, for example, skills with a lower difficulty of acquisition are given a higher priority.

[0041] Furthermore, while the above description has focused primarily on skills and qualifications, other career-related information, such as affiliation and work history, may also be analyzed. For example, by chronologically analyzing the work histories of similar users classified into a specific group, it may be possible to analyze what kind of work experience can be utilized in aiming for a career corresponding to that group. By using the results of such analysis, it may be possible to present, for example, what type of job would be more desirable for the analyzed user in the future, or what department they should belong to in order to gain more useful experience.

[0042] In this way, the behavior candidate analysis unit 114 extracts information about the next behavior candidates in aiming for a career corresponding to each group, and outputs the extracted information about the next behavior candidates to the output control unit 115. This makes it possible for the output control unit 115 to present, for example, to a user who has requested a career analysis (for example, a user who has specified the user to be analyzed), information about the next behavior candidates in the case where the user to be analyzed aims for a career corresponding to each group.

[0043] The output control unit 115 performs various controls related to the output of various types of information. For example, as described above, the output control unit 115 may transmit the analysis result of the career information of similar users by the career information analysis unit 113 to the terminal device 210 operated by the user who requested the career analysis. This allows the output control unit 115 to present the analysis result of the career information to the user who requested the career analysis via the terminal device 210. Similarly, the output control unit 115 may transmit the analysis result of the next behavior candidate by the behavior candidate analysis unit 114 to the terminal device 210 operated by the user who requested the career analysis. The output control unit 115 may also transmit the various pieces of information exemplified above to other devices such as a server that performs various analyses, thereby making it possible to use the analysis results of the career information analysis unit 113 and the behavior candidate analysis unit 114 for other analyses.

[0044] 5 is merely an example, and the functional configuration of the information processing device 110 is not limited as long as the functions of each of the above-described series of components are realized. For example, the functions corresponding to each of the above-described series of components of the information processing device 110 may be realized by multiple devices working together. As a specific example, the functions of some of the above-described series of components may be realized by a device other than the information processing device 110. As another example, the processing load of at least some of the above-described series of components may be distributed among multiple devices. As another example, the functions of at least some of the above-described series of components may be realized by a so-called network service such as a cloud service.

[0045] An example of the functional configuration of the information processing system 1 according to this embodiment has been described above with reference to FIG. 5, focusing particularly on the configuration of the information processing device 110.

[0046] <ui> 6 and 7, an example of the UI of the information processing system 1 according to this embodiment will be described, in particular, a UI that the information processing device 110 presents to the user who has requested the analysis via the terminal device 210 based on the analysis results of the carrier of the user designated as the subject of analysis.

[0047] For example, Figure 6 is a diagram showing an example of the UI of the information processing system 1, and shows an example of a screen V110 for presenting the analysis results of career information of similar users whose career information is similar to that of the user specified as the analysis target, and the analysis results of potential next actions. For example, the display area V111 is an area where information (for example, information according to the extraction result of role models) according to the analysis result of the career information of a series of similar users by the career information analysis unit 113 is displayed. For example, in the example shown in Fig. 5, the output control unit 115 causes the display area V111 to display information about the skills and qualifications possessed by the series of similar users. Furthermore, when presenting role models, the output control unit 115 may perform processing such as tallying or summarizing the series of information to be presented, or may appropriately change the display format such as presenting it as a graph or chart. For example, in the example shown in Fig. 6, the output control unit 115 adjusts the order in which a series of skills or qualifications held by similar users are displayed based on the number of holders of each skill or qualification, and then presents the number of holders in a bar graph.

[0048] Moreover, the display area V112 is an area where information according to the analysis result of the next candidate action by the candidate action analysis unit 114 is displayed. For example, in the example shown in Fig. 5, the output control unit 115 causes the display area V112 to display a list of skills that are desirable to acquire in the future as information related to the next candidate action. Furthermore, when presenting information about the next candidate action, the output control unit 115 may, as in the case of the role model described above, perform processing such as aggregation or summarization on the series of information to be presented, or may appropriately change the display format such as presenting it as a graph or chart. For example, in the example shown in Fig. 6, the output control unit 115 prioritizes the series of skills extracted as information about the next candidate action, adjusts the order in which the series of skills are displayed as a list based on the priority, and presents the level of the priority in a bar graph.

[0049] FIG. 7 is a diagram showing another example of the UI of the information processing system 1, and shows an example of a screen V120 for presenting the analysis results of the career information of similar users whose career information is similar to that of the user specified as the target of analysis. 7 shows an example of a screen that displays the analysis results of the career information of a series of similar users by the career information analysis unit 113 for each group into which the series of similar users are classified. For example, each of display areas V121a to V121c is an area that displays the career information of similar users included in each group into which the series of similar users are classified. Display areas V121a to V121c are associated with different groups, and display the analysis results of the career information of similar users belonging to the groups (for example, information about role models corresponding to the groups). In addition, in the display areas V121a to V121c, in addition to the analysis results of the career information of similar users belonging to the target group, the analysis results of the next action candidates when the target user aims for a career corresponding to the group may be displayed.

[0050] Of course, the above is merely an example and does not necessarily limit the UI of the information processing system 1 according to this embodiment. As a specific example, the type and range of information to be presented and the presentation mode of the information (for example, a graph applied to the information presentation) may be changed as appropriate depending on the usage scene and purpose of the information processing system 1.

[0051] Above, with reference to Figures 6 and 7, an example of the UI of the information processing system 1 according to this embodiment has been described, in particular, a UI that the information processing device 110 presents to the user who has requested the analysis via the terminal device 210 based on the analysis results of the carrier of the user designated as the subject of analysis.

[0052] <Processing> An example of the processing of the information processing system 1 according to this embodiment will be described with reference to FIG. 8, focusing particularly on the processing related to the analysis of carrier information by the information processing device 110.

[0053] In S101, the similar user extraction unit 111 accepts the designation of a user to be analyzed, and extracts other users whose career information is similar to that of the user as similar users. As a specific example, the similar user extraction unit 111 may extract, as similar users, other users whose career information similarity with the user to be analyzed is equal to or greater than a threshold value from a series of users whose career information is managed in the career information management DB 116. As described above, the method for calculating the similarity of career information between multiple users is not particularly limited.

[0054] In S102, the user classification unit 112 classifies each of the series of similar users extracted in S101 into a plurality of groups based on the carrier information of each of the series of similar users. At this time, the user classification unit 112 may classify the series of similar users into a plurality of groups so that, for example, a plurality of users whose carrier information is more similar belong to a common group.

[0055] In S103, the career information analysis unit 113 performs various analyses on the career information of the similar users extracted in S101. For example, the career information analysis unit 113 may analyze the career information of similar users included in each group into which the series of similar users are classified in S102, and extract information characteristic of the group as a role model. The role model may include, for example, information (e.g., affiliation, occupation, skills, qualifications, etc.) related to the careers characteristic of similar users included in the group from which the information is obtained.

[0056] In S104, the behavior candidate analysis unit 114 analyzes the analysis results of the career information of similar users in S103 (for example, role models, etc.) and the career information of the target user to extract information about the user's next behavior candidates. For example, for each group into which the series of similar users are classified in S102, the behavior candidate analysis unit 114 may extract information about the user's next behavior candidates in aiming for a career corresponding to each group, based on the analysis results of the target user's career information and the career information of similar users belonging to the group.

[0057] In S105, the output control unit 115 outputs information indicating the analysis result of the carrier information in S103 and information indicating the analysis result of the target user's next action candidate in S104 to a predetermined output destination. As a specific example, the output control unit 115 may generate a screen presenting the series of information exemplified above and present the screen to the user who has requested the analysis of the carrier information via the user's terminal device. As another example, the output control unit 115 may transfer the series of information exemplified above to another device that performs various analyses on input data as input for the analyses.

[0058] An example of the processing of the information processing system 1 according to this embodiment has been described above with reference to FIG. 8, focusing particularly on the processing related to the analysis of carrier information by the information processing device 110.

[0059] <Modification> A modification of the information processing system 1 according to this embodiment will be described below. In the above-described embodiment, an example was described in which analysis results of career information for each of a series of similar users whose career information is similar to that of a user designated as the analysis target were presented. Meanwhile, the series of users whose career information is managed may include users with diverse work histories, and depending on the career of the user being analyzed, some users may not necessarily be desirable as comparison targets. As a specific example, when analyzing the career of a user in their first year at the company, using a user with significantly different work experience, skills, qualifications, etc., such as a manager-level user, as the comparison target may not necessarily yield useful information. In consideration of such information, the range of similar users to be included in the career information analysis results may be limited.

[0060] For example, when extracting other users whose career information is similar to that of the designated user as similar users, the similar user extraction unit 111 may limit users to be extracted as similar users from a series of users to be managed. As a specific example, the similar user extraction unit 111 may limit users to be extracted as similar users from a series of users to be managed to users whose difference in work history (e.g., years of service) from the designated user is within a threshold.

[0061] As another example, the career information analysis unit 113 may limit the similar users to be the targets of the analysis when analyzing the career information of similar users. As a specific example, the career information analysis unit 113 may target similar users who satisfy predetermined conditions from among a series of similar users included in a target group, and extract information characteristic of the group. Similarly, when analyzing the next behavior candidate, the behavior candidate analysis unit 114 may limit similar users to be the target of the analysis to similar users who satisfy a predetermined condition.

[0062] <Conclusion> As described above, the information processing device 110 according to this embodiment associates and manages career information including one or more types of information related to the user's career as components (e.g., affiliation, job type, skills, qualifications, etc.) with each of a set of users to be managed. The information processing device 110 extracts, from the set of users to be managed, multiple second users different from a first user to be analyzed, whose career information has a similarity level equal to or greater than a threshold. The information processing device 110 classifies each of the multiple second users into multiple groups such that users with higher similarities in the associated career information are included in a common group. Then, the information processing device 110 controls, for at least one of the multiple groups, to output, to a predetermined output destination, information indicated by at least some of the components included in the career information associated with at least some of the second users classified into the group. In addition, the information processing device 110 may control information indicating possible next actions regarding the carrier of the first user to be output to a predetermined output destination based on the difference between the carrier information associated with at least some of the second users classified into at least one of the groups and the carrier information associated with the first user. With the above configuration, it is possible to present the careers of other users who have similar careers to the user being analyzed as model roles. This allows the user to easily understand the direction of their career development, as well as the skills, qualifications, and experience they should acquire in order to build their desired career. In other words, the information processing system according to this embodiment can provide more suitable support for the user's career development.

[0063] It should be noted that the above-described embodiment is merely an example and does not necessarily limit the configuration or processing of the present invention, and various modifications and changes may be made without departing from the technical concept of the present invention. The present invention also includes a program for realizing the functions of the above-described embodiments, and a computer-readable recording medium storing the program.

[0064] The following configurations also fall within the technical scope of the present disclosure. (1) An information processing device comprising: a management means for associating and managing carrier information containing one or more types of information related to the user's career as components with each of a set of users; a first extraction means for extracting from the set of users to be managed a plurality of second users different from a first user to be analyzed, whose carrier information associated with the first user has a similarity equal to or greater than a threshold; a classification means for classifying each of the plurality of second users into a plurality of groups so that users with a higher similarity in the associated carrier information are included in a common group; and an output control means for controlling, for at least one of the plurality of groups, to output to a predetermined output destination information indicated by at least some of the components included in the carrier information associated with at least some of the second users classified into the group. (2) The information processing device according to (1), further comprising a second extraction means for extracting, from among the plurality of groups, at least a first group that is the target of information output by the output control means, from a series of the components included in the carrier information associated with each of a plurality of second users included in the first group, the components that are less frequently included in the carrier information associated with each of a plurality of second users included in a second group different from the first group, as components characteristic of the first group, and the output control means controls, for the first group, so that information indicated by the components extracted for the first group by the second extraction means is output to the specified output destination. (3) The information processing device described in (2), wherein the second extraction means extracts the components characteristic of the first group from users who meet predetermined conditions among multiple second users included in the first group. (4) An information processing device described in any one of (1) to (3), wherein the first extraction means extracts the plurality of second users from the series of users to be managed, the users satisfying predetermined conditions. (5) The information processing device described in any one of (1) to (4), wherein the output control means controls information indicating possible next actions regarding the career of the first user to be output to a predetermined output destination based on a difference between a series of the components included in the career information associated with at least some of the second users classified into at least one of the multiple groups and a series of the components included in the career information associated with the first user. (6) The information processing device described in (5), wherein the output control means determines the priority of the information indicating the next action candidate as an output target between each of the series of components extracted as the difference based on the chronological relationship between the component and other components. (7) The information processing device described in (5), wherein the output control means determines the priority of the information indicating the next action candidate as an output target between each of the series of components extracted as the difference based on the difficulty of acquiring the component. (8) An information processing device described in any one of (1) to (7), wherein the career information includes, as its components, information regarding at least one of the skills possessed by the user to whom the career information is associated, the qualifications possessed by the user, the affiliation of the user, and the occupation of the user. (9) An information processing method executed by an information processing device, comprising: a management step of associating and managing, with each of a set of users, carrier information containing one or more types of information related to the user's career as a component; a first extraction step of extracting, from the set of users to be managed, a plurality of second users different from a first user to be analyzed, whose carrier information associated with the first user has a similarity equal to or greater than a threshold; a classification step of classifying each of the plurality of second users into a plurality of groups so that users with a higher similarity in the associated carrier information are included in a common group; and an output control step of controlling, for at least one of the plurality of groups, information indicated by at least some of the components included in the carrier information associated with at least some of the second users classified into the group to be output to a predetermined output destination. (10) A program that causes a computer to execute the following steps: a management step of associating and managing, for each of a set of users, carrier information containing one or more types of information related to the user's career as a component; a first extraction step of extracting, from the set of users to be managed, a plurality of second users different from a first user to be analyzed, whose carrier information associated with the first user has a similarity equal to or greater than a threshold; a classification step of classifying each of the plurality of second users into a plurality of groups so that users with a higher similarity in the associated carrier information are included in a common group; and an output control step of controlling, for at least one of the plurality of groups, information indicated by at least some of the components included in the carrier information associated with at least some of the second users classified into the group to be output to a predetermined output destination. [Explanation of symbols]

[0065] 1. Information Processing Systems 110 Information processing equipment 111 Similar User Extraction Unit 112 User Classification Unit 113 Career Information Analysis Department 114 Behavior Candidate Analysis Department 115 Output control section 116 Career Information Management DB 210 Terminal Equipment< / ui>

Claims

1. a management means for managing, for each of a series of users, carrier information including one or more types of information relating to the user's carrier as components, in association with the users; a first extraction means for extracting, from the set of users to be managed, a plurality of second users different from a first user to be analyzed, whose carrier information associated with the first user has a similarity equal to or greater than a threshold value; a classification means for classifying each of the plurality of second users into a plurality of groups such that users having a higher degree of similarity in the associated carrier information are included in a common group; an output control means for controlling, for at least one of the plurality of groups, information indicated by at least some of the components included in the carrier information associated with at least some of the second users classified into the group to be output to a predetermined output destination; An information processing device comprising:

2. a second extraction means for extracting, from among a series of components included in the carrier information associated with each of a plurality of second users included in a second group different from the first group, a first group that is a target of information output by the output control means, a component that is less frequently included in the carrier information associated with each of a plurality of second users included in the first group, as a component characteristic of the first group; the output control means controls, with respect to the first group, information indicated by the components extracted for the first group by the second extraction means to be output to the predetermined output destination; The information processing device according to claim 1 .

3. the second extraction means extracts the component characteristic of the first group from users who satisfy a predetermined condition among a plurality of second users included in the first group; The information processing device according to claim 2 .

4. the first extraction means extracts the plurality of second users from the series of users to be managed, the plurality of second users being users who satisfy a predetermined condition; The information processing device according to claim 1 .

5. The output control means A series of the components included in the carrier information associated with at least some of the second users classified into at least one of the plurality of groups; a series of the components included in the carrier information associated with the first user; Based on the difference between Controlling the output of information indicating candidates for next actions regarding the first user's career to a predetermined output destination; The information processing device according to claim 1 .

6. the output control means determines a priority of each of the series of components extracted as the difference, as an output target of the information indicating the next action candidate, based on a chronological relationship between the component and other components; The information processing device according to claim 5 .

7. the output control means determines a priority of the information indicating the next action candidate among each of the series of components extracted as the difference, as an output target, based on a difficulty level related to acquisition of the component. The information processing device according to claim 5 .

8. The carrier information is Skills possessed by the user associated with the career information; The entitlements held by the user; The user's affiliation, and The user's occupation, and The information on at least one of the following is included as the component: The information processing device according to claim 1 .

9. An information processing method executed by an information processing device, a management step of associating and managing, for each of a series of users, carrier information including, as components, one or more types of information relating to the user's carrier; a first extraction step of extracting, from the set of users to be managed, a plurality of second users different from a first user to be analyzed, whose carrier information associated with the first user has a similarity equal to or greater than a threshold value; a classification step of classifying each of the plurality of second users into a plurality of groups such that users having a higher similarity in the associated carrier information are included in a common group; an output control step of controlling, for at least one group among the plurality of groups, information indicated by at least some of the components included in the series of components associated with at least some of the second users classified into the group to be output to a predetermined output destination; An information processing method, including:

10. On the computer, a management step of associating and managing, for each of a series of users, carrier information including, as components, one or more types of information relating to the user's carrier; a first extraction step of extracting, from the set of users to be managed, a plurality of second users different from a first user to be analyzed, whose carrier information associated with the first user has a similarity equal to or greater than a threshold value; a classification step of classifying each of the plurality of second users into a plurality of groups such that users having a higher similarity in the associated carrier information are included in a common group; an output control step of controlling, for at least one group among the plurality of groups, information indicated by at least some of the components included in the series of components associated with at least some of the second users classified into the group to be output to a predetermined output destination; A program that executes.

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